Predicting the Stone-Free Status of Percutaneous Nephrolithotomy With the Machine Learning System: Comparative Analysis With Guy’s Stone Score and the S.T.O.N.E Score System

Purpose: The aim of the study was to use machine learning methods (MLMs) to predict the stone-free status after percutaneous nephrolithotomy (PCNL). We compared the performance of this system with Guy’s stone score and the S.T.O.N.E score system.Materials and Methods: Data from 222 patients (90 fema...

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Bibliographic Details
Published in:	Frontiers in Molecular Biosciences
Main Authors:	Hong Zhao, Wanling Li, Junsheng Li, Li Li, Hang Wang, Jianming Guo
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-05-01
Subjects:	machine learning prediction percutaneous nephrolithotomy stone-free status Guy’s stone score S.T.O.N.E score system
Online Access:	https://www.frontiersin.org/articles/10.3389/fmolb.2022.880291/full

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